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    Metadata Basics for Web Content: The Unification of Structured Data and Content (English Edition)

    Beschreibung Metadata Basics for Web Content: The Unification of Structured Data and Content (English Edition). Metadata (also known as structured data) plays a growing role in how customers and other online audiences get information. Well-defined metadata ensures that digital content is ease-to-locate, is up-to-date, can be targeted to specific needs, and can be re-used for multiple purposes by both the publishers and consumers of the content. Metadata plays a key role in SEO, content licensing, content marketing, social media visibility, analytics, and mobile app design. Metadata is most powerful when it is designed and developed in an integrated manner, where all these roles support each other. Metadata Basics for Web Content is the first comprehensive survey discussing the various kinds of metadata available to support the creation, management, delivery, and assessment of web content. The book is designed to help publishers of web content understand the many benefits of metadata, and identify what they need to do to realize these benefits.Metadata may sound like a specialized technical topic, but it affects everyone who is involved with publishing content online. Effective metadata requires the collaboration of various members of a web team. The book provides insights about metadata will be useful for web team members with different responsibilities, whether they are authors, content strategists, SEOs, web analytics professionals, user experience designers, front-end developers, or marketing experts. The book provides a foundation for publishers to develop integrated requirements relating to web metadata, so that their content can be successful in supporting a diverse range of business goals.Reviews: Laura Creekmore in the ASIS&T Bulletin April/May 2017 “Metadata Basics fully delivers on its promise and then some – it goes beyond the basics that I’ve seen covered elsewhere for sure...Andrews’ book does a lovely job of moving from the basics to a more technical understanding, and it gives you lots of jumping-off points if your work requires a real technical perspective...Michael Andrews’ Metadata Basics for Web Content is a great reference to help you turn your structural concepts into working applications.” Book features: * Extensive diagrams explaining key concepts* Glossary of over 75 important terms* Over 200 footnotes providing additional details and links to tutorials* Simple code examples illustrating concepts discussed. * Links to resources such as important industry standards and software toolsAbout the AuthorMichael C Andrews is an American IT consultant currently based in Hyderabad, India. He started working with online metadata as a technical information specialist at the US Commerce Department in the 1980s, and was among the first wave of people whose full-time job responsibilities focused on using the Internet to access and manage published content. For the past 15 years he has worked as a consultant in the fields of user experience and content strategy. He’s worked as a senior manager for content strategy with one of the world’s largest digital consultancies, and has advised clients such the National Institutes of Health, Verizon and the World Bank. He has lived and worked in the US, UK, New Zealand, Italy, as well as India.Andrews has an MSc in human computer interaction from the University of Sussex in England, and a Masters with a specialization in international finance from Columbia University in New York. He also has a certificate in XML and RDF Technologies from the Library Juice Academy.



    Buch Metadata Basics for Web Content: The Unification of Structured Data and Content (English Edition) PDF ePub

    Metadata Basics for Web Content: The Unification of ~ Metadata Basics for Web Content is the first comprehensive survey discussing the various kinds of metadata available to support the creation, management, delivery, and assessment of web content. The book is designed to help publishers of web content understand the many benefits of metadata, and identify what they need to do to realize these benefits.

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    Understand how structured data works / Google Search Central ~ Google uses structured data that it finds on the web to understand the content of the page, as well as to gather information about the web and the world in general. For example, here is a JSON-LD structured data snippet that might appear on a recipe page, describing the title of the recipe, the author of the recipe, and other details:

    What Is Metadata? (Definition and Uses) - Lifewire ~ With basic metadata like column names, you can quickly glance at the database and understand what a particular set of data is describing. If there's a list of names without metadata to describe them, they could be anything, but when you add metadata to the top that says "Employee's Let Go," you now know that those names represent all of the employees who have been fired.

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    Dataset / Google Search Central / Google Developers ~ Structured data is a standardized format for providing information about a page and classifying the page content. If you’re new to structured data, you can learn more about how structured data works. Here's an overview of how to build, test, and release structured data. For a step-by-step guide on how to add structured data to a web page .

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    Content controls in Word / Microsoft Docs ~ Individual content controls can contain content such as dates, lists, or paragraphs of formatted text. Content controls help you to create rich, structured blocks of content and are designed for use in templates that insert well-defined blocks into your documents, creating structured documents. Content controls are ideal for creating structured documents because content controls help you fix .

    Overview (OData Version 2.0) · OData - the Best Way to REST ~ 2. OData Basics. At the core of OData are feeds, which are Collections of typed Entries.Each entry represents a structured record with a key that has a list of Properties of primitive or complex types. Entries can be part of a type hierarchy and may have related entries and related feeds through Links.For example the following URI represents a feed of Product entries: https://services.odata .

    GeoNode ~ Open Source Geospatial Content Management System. GeoNode is a web-based application and platform for developing geospatial information systems (GIS) and for deploying spatial data infrastructures (SDI). It is designed to be extended and modified, and can be integrated into existing platforms. GeoNode summit 2020

    GIS Data Download - USGS ~ Data Download Applications The map and data products are searchable through the Download Application (Training Video Lessons 4a-d) and the Mobile Application . Historical maps can also be explored in detail and downloaded via the TopoView Application (Training Video Lesson 9b).

    What’s in the head? Metadata in HTML - Learn web ~ That marks the end of our quickfire tour of the HTML head — there's a lot more you can do in here, but an exhaustive tour would be boring and confusing at this stage, and we just wanted to give you an idea of the most common things you'll find in there for now! In the next article we'll be looking at HTML text fundamentals.

    HTML - Meta Tags - Tutorialspoint ~ HTML lets you specify metadata - additional important information about a document in a variety of ways. The META elements can be used to include name/value pairs describing properties of the HTML document, such as author, expiry date, a list of keywords, document author etc.

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    Dublin Core - Wikipedia ~ Dublin Core metadata may be used for multiple purposes, from simple resource description to combining metadata vocabularies of different metadata standards, to providing interoperability for metadata vocabularies in the linked data cloud and Semantic Web implementations.

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    10 JSON Examples to Use in Your Projects - SitePoint ~ Here are ten popular JSON examples to get you going with some common everyday JSON tasks. These files contain basic JSON data sets so you can populate them with data easily.

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    Data Structure and Algorithms Tutorial - Tutorialspoint ~ Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.